Overview

Dataset statistics

Number of variables22
Number of observations84111
Missing cells233356
Missing cells (%)12.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.1 MiB
Average record size in memory176.0 B

Variable types

NUM21
UNSUPPORTED1

Warnings

reviews_count is highly correlated with labels_countHigh correlation
labels_count is highly correlated with reviews_countHigh correlation
winery_labels_count is highly correlated with winery_ratings_countHigh correlation
winery_ratings_count is highly correlated with winery_labels_countHigh correlation
wines_count is highly correlated with regions_count and 1 other fieldsHigh correlation
regions_count is highly correlated with wines_count and 1 other fieldsHigh correlation
wineries_count is highly correlated with regions_count and 1 other fieldsHigh correlation
price is highly correlated with median_priceHigh correlation
median_price is highly correlated with priceHigh correlation
median_price has 6100 (7.3%) missing values Missing
median_discount has 84111 (100.0%) missing values Missing
price_id has 45515 (54.1%) missing values Missing
price has 45515 (54.1%) missing values Missing
price_discount has 45515 (54.1%) missing values Missing
maybe_this_is_wine_id has 6100 (7.3%) missing values Missing
median_price is highly skewed (γ1 = 53.89933288) Skewed
price is highly skewed (γ1 = 35.93065778) Skewed
price_discount is highly skewed (γ1 = 22.39604389) Skewed
Unnamed: 0 has unique values Unique
median_discount is an unsupported type, check if it needs cleaning or further analysis Unsupported
ratings_average has 5879 (7.0%) zeros Zeros
price_discount has 37553 (44.6%) zeros Zeros

Reproduction

Analysis started2020-11-16 10:55:21.339489
Analysis finished2020-11-16 10:56:43.725712
Duration1 minute and 22.39 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

Unnamed: 0
Real number (ℝ≥0)

UNIQUE

Distinct84111
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51810651.53
Minimum68
Maximum166367612
Zeros0
Zeros (%)0.0%
Memory size657.1 KiB
2020-11-16T11:56:43.901597image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum68
5-th percentile1243108.5
Q12418234
median10929516
Q3142375561.5
95-th percentile158085457.5
Maximum166367612
Range166367544
Interquartile range (IQR)139957327.5

Descriptive statistics

Standard deviation65046801.3
Coefficient of variation (CV)1.255471595
Kurtosis-1.230741414
Mean51810651.53
Median Absolute Deviation (MAD)9511567
Skewness0.802177781
Sum4.357845711e+12
Variance4.231086359e+15
MonotocityNot monotonic
2020-11-16T11:56:44.047054image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1507348471< 0.1%
 
86512851< 0.1%
 
45217991< 0.1%
 
1504957691< 0.1%
 
33080581< 0.1%
 
1526641811< 0.1%
 
16967081< 0.1%
 
39493961< 0.1%
 
14713341< 0.1%
 
32337501< 0.1%
 
Other values (84101)84101> 99.9%
 
ValueCountFrequency (%) 
681< 0.1%
 
12311< 0.1%
 
15331< 0.1%
 
18131< 0.1%
 
18221< 0.1%
 
ValueCountFrequency (%) 
1663676121< 0.1%
 
1663292341< 0.1%
 
1663184371< 0.1%
 
1662887821< 0.1%
 
1661953161< 0.1%
 

ratings_count
Real number (ℝ≥0)

Distinct5899
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean787.6709229
Minimum0
Maximum122412
Zeros6
Zeros (%)< 0.1%
Memory size657.1 KiB
2020-11-16T11:56:44.199094image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q171
median249
Q3704
95-th percentile2825
Maximum122412
Range122412
Interquartile range (IQR)633

Descriptive statistics

Standard deviation2464.052399
Coefficient of variation (CV)3.128276451
Kurtosis474.3853703
Mean787.6709229
Median Absolute Deviation (MAD)217
Skewness16.48111828
Sum66251789
Variance6071554.226
MonotocityNot monotonic
2020-11-16T11:56:44.356801image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
112951.5%
 
28211.0%
 
36690.8%
 
45630.7%
 
55460.6%
 
65380.6%
 
75280.6%
 
94580.5%
 
84550.5%
 
124170.5%
 
Other values (5889)7782192.5%
 
ValueCountFrequency (%) 
06< 0.1%
 
112951.5%
 
28211.0%
 
36690.8%
 
45630.7%
 
ValueCountFrequency (%) 
1224121< 0.1%
 
1147061< 0.1%
 
1128741< 0.1%
 
1020351< 0.1%
 
1013001< 0.1%
 

ratings_average
Real number (ℝ≥0)

ZEROS

Distinct34
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.499179655
Minimum0
Maximum5
Zeros5879
Zeros (%)7.0%
Memory size657.1 KiB
2020-11-16T11:56:44.949750image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.5
median3.7
Q34
95-th percentile4.4
Maximum5
Range5
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation1.024226938
Coefficient of variation (CV)0.2927048734
Kurtosis6.62306583
Mean3.499179655
Median Absolute Deviation (MAD)0.3
Skewness-2.680260237
Sum294319.5
Variance1.04904082
MonotocityNot monotonic
2020-11-16T11:56:45.086014image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%) 
3.8933211.1%
 
3.7888110.6%
 
3.679479.4%
 
3.973528.7%
 
3.567278.0%
 
058797.0%
 
457816.9%
 
4.154536.5%
 
3.447145.6%
 
4.243795.2%
 
Other values (24)1766621.0%
 
ValueCountFrequency (%) 
058797.0%
 
1.81< 0.1%
 
1.91< 0.1%
 
22< 0.1%
 
2.14< 0.1%
 
ValueCountFrequency (%) 
51< 0.1%
 
4.916< 0.1%
 
4.81070.1%
 
4.74600.5%
 
4.67670.9%
 

labels_count
Real number (ℝ≥0)

HIGH CORRELATION

Distinct15392
Distinct (%)18.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3847.355031
Minimum0
Maximum588471
Zeros156
Zeros (%)0.2%
Memory size657.1 KiB
2020-11-16T11:56:45.232076image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19
Q1335
median1342
Q34048
95-th percentile14878.5
Maximum588471
Range588471
Interquartile range (IQR)3713

Descriptive statistics

Standard deviation8782.923904
Coefficient of variation (CV)2.282847263
Kurtosis535.90951
Mean3847.355031
Median Absolute Deviation (MAD)1217
Skewness13.80421095
Sum323604879
Variance77139752.3
MonotocityNot monotonic
2020-11-16T11:56:45.383061image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
14210.5%
 
23640.4%
 
33310.4%
 
42610.3%
 
62540.3%
 
52320.3%
 
82160.3%
 
72060.2%
 
122000.2%
 
101910.2%
 
Other values (15382)8143596.8%
 
ValueCountFrequency (%) 
01560.2%
 
14210.5%
 
23640.4%
 
33310.4%
 
42610.3%
 
ValueCountFrequency (%) 
5884711< 0.1%
 
5649741< 0.1%
 
2902851< 0.1%
 
2477021< 0.1%
 
2351981< 0.1%
 

reviews_count
Real number (ℝ≥0)

HIGH CORRELATION

Distinct2143
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean175.5027999
Minimum0
Maximum22669
Zeros15
Zeros (%)< 0.1%
Memory size657.1 KiB
2020-11-16T11:56:45.558229image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q119
median69
Q3193
95-th percentile667
Maximum22669
Range22669
Interquartile range (IQR)174

Descriptive statistics

Standard deviation361.7074452
Coefficient of variation (CV)2.060978204
Kurtosis445.1783967
Mean175.5027999
Median Absolute Deviation (MAD)60
Skewness12.57423682
Sum14761716
Variance130832.2759
MonotocityNot monotonic
2020-11-16T11:56:45.699884image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
130333.6%
 
218362.2%
 
316011.9%
 
413481.6%
 
612331.5%
 
511801.4%
 
711261.3%
 
810211.2%
 
99961.2%
 
109201.1%
 
Other values (2133)6981783.0%
 
ValueCountFrequency (%) 
015< 0.1%
 
130333.6%
 
218362.2%
 
316011.9%
 
413481.6%
 
ValueCountFrequency (%) 
226691< 0.1%
 
208421< 0.1%
 
164161< 0.1%
 
133531< 0.1%
 
106671< 0.1%
 

wine_id
Real number (ℝ≥0)

Distinct14326
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1576490.005
Minimum20
Maximum8815980
Zeros0
Zeros (%)0.0%
Memory size657.1 KiB
2020-11-16T11:56:45.864995image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile7073
Q11105336
median1210005
Q31818912
95-th percentile5442993
Maximum8815980
Range8815960
Interquartile range (IQR)713576

Descriptive statistics

Standard deviation1530922.465
Coefficient of variation (CV)0.9710955733
Kurtosis3.349475964
Mean1576490.005
Median Absolute Deviation (MAD)550696
Skewness1.779224708
Sum1.326001508e+11
Variance2.343723595e+12
MonotocityNot monotonic
2020-11-16T11:56:46.013403image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
112779532< 0.1%
 
390828< 0.1%
 
116755527< 0.1%
 
116867627< 0.1%
 
736027< 0.1%
 
165597027< 0.1%
 
922027< 0.1%
 
116683727< 0.1%
 
168422327< 0.1%
 
115275526< 0.1%
 
Other values (14316)8383699.7%
 
ValueCountFrequency (%) 
2012< 0.1%
 
1283< 0.1%
 
2719< 0.1%
 
2874< 0.1%
 
2962< 0.1%
 
ValueCountFrequency (%) 
88159802< 0.1%
 
86361132< 0.1%
 
85443882< 0.1%
 
84797576< 0.1%
 
84797534< 0.1%
 

winery_id
Real number (ℝ≥0)

Distinct5896
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39101.442
Minimum24
Maximum286353
Zeros0
Zeros (%)0.0%
Memory size657.1 KiB
2020-11-16T11:56:46.161474image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile1308
Q13297
median11265
Q332084
95-th percentile220621
Maximum286353
Range286329
Interquartile range (IQR)28787

Descriptive statistics

Standard deviation65931.11193
Coefficient of variation (CV)1.686155511
Kurtosis3.32902247
Mean39101.442
Median Absolute Deviation (MAD)8981
Skewness2.144024615
Sum3288861388
Variance4346911520
MonotocityNot monotonic
2020-11-16T11:56:46.304226image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
61884180.5%
 
78313610.4%
 
15213330.4%
 
13083040.4%
 
80742600.3%
 
19412440.3%
 
13052420.3%
 
14322350.3%
 
110352320.3%
 
40092310.3%
 
Other values (5886)8125196.6%
 
ValueCountFrequency (%) 
246< 0.1%
 
303< 0.1%
 
373< 0.1%
 
3810< 0.1%
 
455< 0.1%
 
ValueCountFrequency (%) 
2863533< 0.1%
 
2860702< 0.1%
 
2858627< 0.1%
 
28581331< 0.1%
 
2856022< 0.1%
 

winery_ratings_count
Real number (ℝ≥0)

HIGH CORRELATION

Distinct8248
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49638.02944
Minimum21
Maximum535578
Zeros0
Zeros (%)0.0%
Memory size657.1 KiB
2020-11-16T11:56:46.456651image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile1428
Q16879.5
median21223
Q358880
95-th percentile195671
Maximum535578
Range535557
Interquartile range (IQR)52000.5

Descriptive statistics

Standard deviation71600.4922
Coefficient of variation (CV)1.44245235
Kurtosis9.233240121
Mean49638.02944
Median Absolute Deviation (MAD)17158
Skewness2.692411408
Sum4175104294
Variance5126630484
MonotocityNot monotonic
2020-11-16T11:56:46.611913image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1108812580.3%
 
1433342200.3%
 
1416411940.2%
 
200841590.2%
 
1927951560.2%
 
5355651380.2%
 
1001991360.2%
 
1785251300.2%
 
844921230.1%
 
295401140.1%
 
Other values (8238)8248398.1%
 
ValueCountFrequency (%) 
212< 0.1%
 
271< 0.1%
 
362< 0.1%
 
412< 0.1%
 
451< 0.1%
 
ValueCountFrequency (%) 
5355786< 0.1%
 
53557414< 0.1%
 
5355687< 0.1%
 
5355651380.2%
 
4661464< 0.1%
 

winery_ratings_average
Real number (ℝ≥0)

Distinct24
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.761229803
Minimum2.4
Maximum4.7
Zeros0
Zeros (%)0.0%
Memory size657.1 KiB
2020-11-16T11:56:46.739031image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.4
5-th percentile3.3
Q13.6
median3.8
Q33.9
95-th percentile4.2
Maximum4.7
Range2.3
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.2785352073
Coefficient of variation (CV)0.07405429125
Kurtosis0.606037061
Mean3.761229803
Median Absolute Deviation (MAD)0.2
Skewness0.06594726394
Sum316360.8
Variance0.07758186172
MonotocityNot monotonic
2020-11-16T11:56:46.863707image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%) 
3.81248414.8%
 
3.71224414.6%
 
3.91136213.5%
 
3.6976911.6%
 
483519.9%
 
3.580749.6%
 
3.456526.7%
 
4.147695.7%
 
4.228543.4%
 
3.327033.2%
 
Other values (14)58497.0%
 
ValueCountFrequency (%) 
2.48< 0.1%
 
2.517< 0.1%
 
2.640< 0.1%
 
2.731< 0.1%
 
2.8630.1%
 
ValueCountFrequency (%) 
4.72130.3%
 
4.63090.4%
 
4.55340.6%
 
4.46500.8%
 
4.318962.3%
 

winery_labels_count
Real number (ℝ≥0)

HIGH CORRELATION

Distinct9061
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean360763.67
Minimum369
Maximum3930070
Zeros0
Zeros (%)0.0%
Memory size657.1 KiB
2020-11-16T11:56:47.019394image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum369
5-th percentile9972
Q147881
median141037
Q3392307
95-th percentile1530764
Maximum3930070
Range3929701
Interquartile range (IQR)344426

Descriptive statistics

Standard deviation545867.342
Coefficient of variation (CV)1.513088449
Kurtosis8.689641374
Mean360763.67
Median Absolute Deviation (MAD)113632
Skewness2.711867721
Sum3.034419305e+10
Variance2.97971155e+11
MonotocityNot monotonic
2020-11-16T11:56:47.182138image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
8130702580.3%
 
14053622200.3%
 
2405101590.2%
 
13125981560.2%
 
11533181360.2%
 
16892511300.2%
 
4902701230.1%
 
9157801170.1%
 
1308061140.1%
 
2236311080.1%
 
Other values (9051)8259098.2%
 
ValueCountFrequency (%) 
3691< 0.1%
 
4033< 0.1%
 
4654< 0.1%
 
4744< 0.1%
 
5017< 0.1%
 
ValueCountFrequency (%) 
39300704< 0.1%
 
39296892< 0.1%
 
39287546< 0.1%
 
392868710< 0.1%
 
392862629< 0.1%
 

winery_wines_count
Real number (ℝ≥0)

Distinct235
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.11914018
Minimum1
Maximum858
Zeros0
Zeros (%)0.0%
Memory size657.1 KiB
2020-11-16T11:56:47.346443image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q111
median31
Q371
95-th percentile195
Maximum858
Range857
Interquartile range (IQR)60

Descriptive statistics

Standard deviation67.99940196
Coefficient of variation (CV)1.233680383
Kurtosis8.954824001
Mean55.11914018
Median Absolute Deviation (MAD)23
Skewness2.512623648
Sum4636126
Variance4623.918667
MonotocityNot monotonic
2020-11-16T11:56:47.482383image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
522422.7%
 
622392.7%
 
322232.6%
 
220922.5%
 
719932.4%
 
419682.3%
 
819442.3%
 
919302.3%
 
1018312.2%
 
1217242.0%
 
Other values (225)6392576.0%
 
ValueCountFrequency (%) 
116972.0%
 
220922.5%
 
322232.6%
 
419682.3%
 
522422.7%
 
ValueCountFrequency (%) 
8589< 0.1%
 
7112< 0.1%
 
51327< 0.1%
 
48033< 0.1%
 
4634< 0.1%
 

region_id
Real number (ℝ≥0)

Distinct957
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean987.6646455
Minimum0
Maximum4664
Zeros125
Zeros (%)0.1%
Memory size657.1 KiB
2020-11-16T11:56:47.627028image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile25
Q1429
median649
Q31395
95-th percentile3048
Maximum4664
Range4664
Interquartile range (IQR)966

Descriptive statistics

Standard deviation916.4910594
Coefficient of variation (CV)0.9279374974
Kurtosis1.69895419
Mean987.6646455
Median Absolute Deviation (MAD)240
Skewness1.524355044
Sum83073461
Variance839955.862
MonotocityNot monotonic
2020-11-16T11:56:47.772405image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2427633.3%
 
49226003.1%
 
45424472.9%
 
71817472.1%
 
2517302.1%
 
59316892.0%
 
43316802.0%
 
82714691.7%
 
40511571.4%
 
39411461.4%
 
Other values (947)6568378.1%
 
ValueCountFrequency (%) 
01250.1%
 
76010.7%
 
915< 0.1%
 
2427633.3%
 
2517302.1%
 
ValueCountFrequency (%) 
46647< 0.1%
 
46626< 0.1%
 
466023< 0.1%
 
465818< 0.1%
 
46565< 0.1%
 

users_count
Real number (ℝ≥0)

Distinct45
Distinct (%)0.1%
Missing125
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean3075068.688
Minimum4415
Maximum9314284
Zeros0
Zeros (%)0.0%
Memory size657.1 KiB
2020-11-16T11:56:47.912850image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum4415
5-th percentile167250
Q1820134
median3395333
Q33975455
95-th percentile9314284
Maximum9314284
Range9309869
Interquartile range (IQR)3155321

Descriptive statistics

Standard deviation2755912.94
Coefficient of variation (CV)0.8962118311
Kurtosis0.611632474
Mean3075068.688
Median Absolute Deviation (MAD)1593254
Skewness1.179204012
Sum2.582627189e+11
Variance7.595056132e+12
MonotocityNot monotonic
2020-11-16T11:56:48.066422image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%) 
39754551772721.1%
 
33953331527318.2%
 
93142841063512.6%
 
18020791052912.5%
 
82013467058.0%
 
25553553186.3%
 
48465644345.3%
 
75498142825.1%
 
20540418602.2%
 
172275112261.5%
 
Other values (35)59977.1%
 
ValueCountFrequency (%) 
441515< 0.1%
 
545717< 0.1%
 
680327< 0.1%
 
76655250.6%
 
841938< 0.1%
 
ValueCountFrequency (%) 
93142841063512.6%
 
39754551772721.1%
 
35182653780.4%
 
33953331527318.2%
 
22986544< 0.1%
 

regions_count
Real number (ℝ≥0)

HIGH CORRELATION

Distinct32
Distinct (%)< 0.1%
Missing125
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean459.8737766
Minimum1
Maximum1280
Zeros0
Zeros (%)0.0%
Memory size657.1 KiB
2020-11-16T11:56:48.194360image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile35
Q191
median353
Q3554
95-th percentile1280
Maximum1280
Range1279
Interquartile range (IQR)463

Descriptive statistics

Standard deviation459.7209725
Coefficient of variation (CV)0.9996677261
Kurtosis-0.6403842755
Mean459.8737766
Median Absolute Deviation (MAD)234
Skewness0.9372912939
Sum38622959
Variance211343.3726
MonotocityNot monotonic
2020-11-16T11:56:48.329919image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%) 
12801772721.1%
 
5541527318.2%
 
3531063512.6%
 
1491052912.5%
 
37997611.9%
 
9167058.0%
 
11942825.1%
 
11018602.2%
 
3515941.9%
 
21012261.5%
 
Other values (22)41795.0%
 
ValueCountFrequency (%) 
142< 0.1%
 
21270.2%
 
32610.3%
 
417< 0.1%
 
540< 0.1%
 
ValueCountFrequency (%) 
12801772721.1%
 
5541527318.2%
 
3531063512.6%
 
21012261.5%
 
1491052912.5%
 

wines_count
Real number (ℝ≥0)

HIGH CORRELATION

Distinct45
Distinct (%)0.1%
Missing125
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean223930.4964
Minimum268
Maximum490885
Zeros0
Zeros (%)0.0%
Memory size657.1 KiB
2020-11-16T11:56:48.473608image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum268
5-th percentile17180
Q147366
median223615
Q3324753
95-th percentile490885
Maximum490885
Range490617
Interquartile range (IQR)277387

Descriptive statistics

Standard deviation171408.8656
Coefficient of variation (CV)0.7654556589
Kurtosis-1.270679232
Mean223930.4964
Median Absolute Deviation (MAD)176249
Skewness0.3974350883
Sum1.880702667e+10
Variance2.938099922e+10
MonotocityNot monotonic
2020-11-16T11:56:48.621131image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%) 
4908851772721.1%
 
3247531527318.2%
 
2236151063512.6%
 
1177911052912.5%
 
4567567058.0%
 
4736653186.3%
 
4124244345.3%
 
9969642825.1%
 
3448318602.2%
 
17744312261.5%
 
Other values (35)59977.1%
 
ValueCountFrequency (%) 
26815< 0.1%
 
3562< 0.1%
 
42812< 0.1%
 
51425< 0.1%
 
62010< 0.1%
 
ValueCountFrequency (%) 
4908851772721.1%
 
3247531527318.2%
 
2236151063512.6%
 
17744312261.5%
 
1177911052912.5%
 

wineries_count
Real number (ℝ≥0)

HIGH CORRELATION

Distinct44
Distinct (%)0.1%
Missing125
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean28291.56793
Minimum39
Maximum65178
Zeros0
Zeros (%)0.0%
Memory size657.1 KiB
2020-11-16T11:56:48.760863image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum39
5-th percentile1732
Q15410
median25755
Q339341
95-th percentile65178
Maximum65178
Range65139
Interquartile range (IQR)33931

Descriptive statistics

Standard deviation22651.75846
Coefficient of variation (CV)0.8006540505
Kurtosis-1.09409929
Mean28291.56793
Median Absolute Deviation (MAD)20345
Skewness0.5365098139
Sum2376095624
Variance513102161.1
MonotocityNot monotonic
2020-11-16T11:56:48.894661image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%) 
651781772721.1%
 
393411527318.2%
 
257551063512.6%
 
167201052912.5%
 
541067058.0%
 
499553186.3%
 
465644345.3%
 
1267442825.1%
 
382118602.2%
 
1307312261.5%
 
Other values (34)59977.1%
 
ValueCountFrequency (%) 
3912< 0.1%
 
4615< 0.1%
 
472< 0.1%
 
10117< 0.1%
 
1021840.2%
 
ValueCountFrequency (%) 
651781772721.1%
 
393411527318.2%
 
257551063512.6%
 
167201052912.5%
 
1307312261.5%
 

median_price
Real number (ℝ≥0)

HIGH CORRELATION
MISSING
SKEWED

Distinct16572
Distinct (%)21.2%
Missing6100
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean323.7827782
Minimum0
Maximum287626.5
Zeros1
Zeros (%)< 0.1%
Memory size657.1 KiB
2020-11-16T11:56:49.045601image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile32.94
Q163.85
median109
Q3220
95-th percentile764.97
Maximum287626.5
Range287626.5
Interquartile range (IQR)156.15

Descriptive statistics

Standard deviation2722.572283
Coefficient of variation (CV)8.408638341
Kurtosis3698.763906
Mean323.7827782
Median Absolute Deviation (MAD)58.5
Skewness53.89933288
Sum25258618.31
Variance7412399.836
MonotocityNot monotonic
2020-11-16T11:56:49.195005image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
996900.8%
 
1995160.6%
 
504320.5%
 
1494190.5%
 
2993890.5%
 
793810.5%
 
1393540.4%
 
1293400.4%
 
893290.4%
 
693210.4%
 
Other values (16562)7384087.8%
 
(Missing)61007.3%
 
ValueCountFrequency (%) 
01< 0.1%
 
0.019< 0.1%
 
0.025< 0.1%
 
0.033< 0.1%
 
0.041< 0.1%
 
ValueCountFrequency (%) 
287626.51< 0.1%
 
207156.761< 0.1%
 
14500016< 0.1%
 
1000001< 0.1%
 
79205.851< 0.1%
 

median_discount
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing84111
Missing (%)100.0%
Memory size657.2 KiB

price_id
Real number (ℝ≥0)

MISSING

Distinct9368
Distinct (%)24.3%
Missing45515
Missing (%)54.1%
Infinite0
Infinite (%)0.0%
Mean17910028.66
Minimum4069
Maximum23133325
Zeros0
Zeros (%)0.0%
Memory size657.1 KiB
2020-11-16T11:56:49.347939image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum4069
5-th percentile4240023
Q116079769.5
median20208210
Q321847988.25
95-th percentile22960256
Maximum23133325
Range23129256
Interquartile range (IQR)5768218.75

Descriptive statistics

Standard deviation5703746.263
Coefficient of variation (CV)0.3184666184
Kurtosis1.539190253
Mean17910028.66
Median Absolute Deviation (MAD)2297900
Skewness-1.534080465
Sum6.912554662e+11
Variance3.253272143e+13
MonotocityNot monotonic
2020-11-16T11:56:49.490935image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1791435732< 0.1%
 
2087195328< 0.1%
 
2299576027< 0.1%
 
2023835527< 0.1%
 
2041551427< 0.1%
 
2179400127< 0.1%
 
2101297726< 0.1%
 
1757235326< 0.1%
 
1932451125< 0.1%
 
1999035223< 0.1%
 
Other values (9358)3832845.6%
 
(Missing)4551554.1%
 
ValueCountFrequency (%) 
40692< 0.1%
 
42196< 0.1%
 
295891< 0.1%
 
296316< 0.1%
 
355131< 0.1%
 
ValueCountFrequency (%) 
231333257< 0.1%
 
2313213214< 0.1%
 
231317891< 0.1%
 
2313163111< 0.1%
 
231316251< 0.1%
 

price
Real number (ℝ≥0)

HIGH CORRELATION
MISSING
SKEWED

Distinct3068
Distinct (%)7.9%
Missing45515
Missing (%)54.1%
Infinite0
Infinite (%)0.0%
Mean493.8186174
Minimum15
Maximum145000
Zeros0
Zeros (%)0.0%
Memory size657.1 KiB
2020-11-16T11:56:49.637139image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile48.52
Q189.57
median163.46
Q3333.715
95-th percentile1320
Maximum145000
Range144985
Interquartile range (IQR)244.145

Descriptive statistics

Standard deviation3310.11092
Coefficient of variation (CV)6.703090574
Kurtosis1516.422783
Mean493.8186174
Median Absolute Deviation (MAD)89.94
Skewness35.93065778
Sum19059423.36
Variance10956834.3
MonotocityNot monotonic
2020-11-16T11:56:49.783786image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
996090.7%
 
1994930.6%
 
1494190.5%
 
2993550.4%
 
1293180.4%
 
1393110.4%
 
792990.4%
 
3992950.4%
 
1792680.3%
 
892620.3%
 
Other values (3058)3496741.6%
 
(Missing)4551554.1%
 
ValueCountFrequency (%) 
158< 0.1%
 
215< 0.1%
 
24.83333438< 0.1%
 
252< 0.1%
 
25.387< 0.1%
 
ValueCountFrequency (%) 
14500016< 0.1%
 
47735.41< 0.1%
 
47134.562< 0.1%
 
41200.751< 0.1%
 
37711.035< 0.1%
 

price_discount
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct139
Distinct (%)0.4%
Missing45515
Missing (%)54.1%
Infinite0
Infinite (%)0.0%
Mean8.296261115
Minimum0
Maximum4075.19
Zeros37553
Zeros (%)44.6%
Memory size657.1 KiB
2020-11-16T11:56:49.954340image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4075.19
Range4075.19
Interquartile range (IQR)0

Descriptive statistics

Standard deviation75.02795536
Coefficient of variation (CV)9.043586541
Kurtosis854.0718843
Mean8.296261115
Median Absolute Deviation (MAD)0
Skewness22.39604389
Sum320202.494
Variance5629.194086
MonotocityNot monotonic
2020-11-16T11:56:50.107582image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
03755344.6%
 
229470.1%
 
12940< 0.1%
 
239.9532< 0.1%
 
29932< 0.1%
 
16931< 0.1%
 
19929< 0.1%
 
169.9500125< 0.1%
 
49923< 0.1%
 
189.9520< 0.1%
 
Other values (129)7640.9%
 
(Missing)4551554.1%
 
ValueCountFrequency (%) 
03755344.6%
 
49.59< 0.1%
 
57.52< 0.1%
 
59.51< 0.1%
 
63.921< 0.1%
 
ValueCountFrequency (%) 
4075.193< 0.1%
 
19999< 0.1%
 
16501< 0.1%
 
1516.731< 0.1%
 
13981< 0.1%
 

maybe_this_is_wine_id
Real number (ℝ≥0)

MISSING

Distinct48783
Distinct (%)62.5%
Missing6100
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean65907520.23
Minimum68
Maximum166329234
Zeros0
Zeros (%)0.0%
Memory size657.1 KiB
2020-11-16T11:56:50.286250image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum68
5-th percentile1346476
Q13082608.5
median18651979
Q3150582709
95-th percentile159679556
Maximum166329234
Range166329166
Interquartile range (IQR)147500100.5

Descriptive statistics

Standard deviation69253180.07
Coefficient of variation (CV)1.050762945
Kurtosis-1.750855357
Mean65907520.23
Median Absolute Deviation (MAD)17228971
Skewness0.3777916018
Sum5.141511561e+12
Variance4.79600295e+15
MonotocityNot monotonic
2020-11-16T11:56:50.434067image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
133058432< 0.1%
 
159955728< 0.1%
 
15489964527< 0.1%
 
133216927< 0.1%
 
138752827< 0.1%
 
265782627< 0.1%
 
403984026< 0.1%
 
419493626< 0.1%
 
13521868525< 0.1%
 
12190687023< 0.1%
 
Other values (48773)7774392.4%
 
(Missing)61007.3%
 
ValueCountFrequency (%) 
681< 0.1%
 
12311< 0.1%
 
20791< 0.1%
 
20831< 0.1%
 
22011< 0.1%
 
ValueCountFrequency (%) 
1663292341< 0.1%
 
1663184371< 0.1%
 
1660340131< 0.1%
 
1659213321< 0.1%
 
1658428031< 0.1%
 

Interactions

2020-11-16T11:55:35.930312image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:36.087482image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:36.215702image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:36.337023image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:36.463527image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:36.585059image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:36.718388image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:36.850527image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:36.982044image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:37.111862image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:37.247528image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:37.369055image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:37.488546image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:37.611295image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:37.782718image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:37.943010image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:38.081621image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:38.465613image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:38.643491image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:38.785878image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:38.940766image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:39.080372image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:39.259544image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:39.426014image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:39.580281image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:39.731325image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:39.857118image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:40.025134image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:40.158755image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:40.282653image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:40.411963image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:40.547154image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:40.685521image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:40.818363image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:40.957118image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:41.118061image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:41.281627image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:41.430540image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:41.579843image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:41.721320image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:41.885425image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:42.066743image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:42.207581image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:42.326438image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:42.454371image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:42.603267image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:42.767582image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:42.886523image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:43.164368image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:43.294844image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:43.412752image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:43.561294image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:43.746774image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:43.900220image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:44.040250image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:44.177494image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:44.307935image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:44.442245image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:44.578615image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:44.758766image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:44.912981image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:45.067757image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:45.224109image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:45.369193image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:45.528504image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:45.735408image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:45.876997image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:45.998467image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:46.125849image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:46.250789image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:46.370926image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:46.489703image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:46.616823image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:46.746890image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:46.865641image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:55:47.010897image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
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2020-11-16T11:56:15.601427image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:15.747337image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:15.869716image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:15.989347image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:16.115812image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:16.256072image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:16.388781image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:16.514381image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:16.663626image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:16.811777image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:16.948543image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:17.116558image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:17.253024image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:17.376064image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:17.501868image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:17.621929image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:17.756503image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:17.893652image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:18.035728image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:18.168879image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:18.296555image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:18.454199image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:18.616534image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:18.749910image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:18.881540image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:19.013862image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:19.156087image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:19.280423image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:19.397557image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:19.520098image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:19.637753image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:19.780887image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:19.918089image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:20.045747image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:20.168270image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:20.289615image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:20.411754image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:20.534377image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:20.653230image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:20.780940image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:20.923891image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:21.047817image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:21.175178image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:21.311021image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:21.444953image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:21.568051image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:21.687099image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:21.845572image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:22.028422image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:22.187134image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:22.360735image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:22.510282image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:22.666559image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:22.821748image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:22.974184image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:23.184417image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:23.323579image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:23.454807image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:23.624799image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:23.795425image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:23.986436image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:24.150510image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:24.339406image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:24.509571image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:24.665077image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:24.873120image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:25.038974image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:25.223192image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:25.441949image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:25.609468image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:26.259871image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:26.446440image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:26.647925image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:26.922241image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:27.080720image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:27.240914image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:27.374356image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:27.522898image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:27.661452image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:27.783964image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:27.907620image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:28.036826image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:28.153652image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:28.307611image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:28.497069image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:28.689624image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:28.822822image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:28.931955image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:29.044903image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:29.177368image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:29.335730image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:29.485400image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:29.636113image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:29.789270image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:30.024705image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:30.186791image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:30.339485image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:30.503044image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:30.704107image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:30.870698image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:31.032800image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:31.166842image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:31.345970image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:31.490272image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:31.661251image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:31.879339image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:32.121357image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:32.417452image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:32.586535image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:32.715235image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:32.866444image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:33.009505image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:33.146612image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:33.286838image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:33.429338image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:33.573365image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:33.715814image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:33.860791image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:34.035435image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:34.181100image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:34.323050image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:34.472981image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:34.610464image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:34.760221image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:34.909350image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:35.060675image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:35.211626image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:35.366909image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:35.511214image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:35.647657image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:35.780413image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:35.932125image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:36.084444image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:36.224578image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:36.372780image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:36.509388image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:36.695071image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:36.895942image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:37.059044image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:37.265186image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:37.429549image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:37.577595image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:37.768850image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:37.910407image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:38.051326image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:38.229842image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:38.399107image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:38.614009image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:38.795328image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:38.967634image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:39.136910image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:39.315634image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:39.474905image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:39.609888image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:39.753482image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:39.910967image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:40.060031image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:40.239803image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:40.420960image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Correlations

2020-11-16T11:56:50.603541image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-11-16T11:56:50.930321image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-11-16T11:56:51.255096image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-11-16T11:56:51.577866image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-11-16T11:56:40.923147image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:41.866033image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:43.167911image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-16T11:56:43.464288image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Sample

First rows

Unnamed: 0ratings_countratings_averagelabels_countreviews_countwine_idwinery_idwinery_ratings_countwinery_ratings_averagewinery_labels_countwinery_wines_countregion_idusers_countregions_countwines_countwineries_countmedian_pricemedian_discountprice_idpriceprice_discountmaybe_this_is_wine_id
0225051054813.7499213815770186802264133.533430290593255535.037.047366.04995.044.31NaNNaNNaNNaN22505105.0
1562508413584.462794071153456142991197384.045777847454484656.037.041242.04656.0248.89NaNNaNNaNNaN5625084.0
2211707711184.238413361153456142991197384.045777847454484656.037.041242.04656.0206.73NaNNaNNaNNaN2117077.0
3222303816754.466785321153456142991197384.045777847454484656.037.041242.04656.0289.69NaNNaNNaNNaN2223038.0
4238614616074.253775851153456142991197384.045777847454484656.037.041242.04656.0325.00NaNNaNNaNNaN2386146.0
5221241797264.431742361153456142991197384.045777847454484656.037.041242.04656.0255.98NaNNaNNaNNaN22124179.0
69755070713044.467654201153456142991197384.045777847454484656.037.041242.04656.0240.65NaNNaNNaNNaN97550707.0
7167348811574.138073831153456142991197384.045777847454484656.037.041242.04656.0262.06NaNNaNNaNNaN1673488.0
8145231044503.439931401199675152401103303.7834953166798820134.091.045675.05410.030.45NaNNaNNaNNaN14523104.0
944176945373.334851431199675152401103303.7834953166798820134.091.045675.05410.027.44NaNNaNNaNNaN4417694.0

Last rows

Unnamed: 0ratings_countratings_averagelabels_countreviews_countwine_idwinery_idwinery_ratings_countwinery_ratings_averagewinery_labels_countwinery_wines_countregion_idusers_countregions_countwines_countwineries_countmedian_pricemedian_discountprice_idpriceprice_discountmaybe_this_is_wine_id
8410115228488610823.812088429429842925989950803.857326431063395333.0554.0324753.039341.044.68NaNNaNNaNNaN152284886.0
8410214120503530.0113429842925989950803.857326431063395333.0554.0324753.039341.074.22NaNNaNNaNNaN141205035.0
8410314438914310333.711788402429842925989950803.857326431063395333.0554.0324753.039341.044.74NaNNaNNaNNaN144389143.0
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